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ESANN
2008
13 years 9 months ago
Pruning and Regularisation in Reservoir Computing: a First Insight
Reservoir Computing is a new paradigm for using Recurrent Neural Networks which shows promising results. However, as the recurrent part is created randomly, it typically needs to b...
Xavier Dutoit, Benjamin Schrauwen, Jan M. Van Camp...
IWANN
1997
Springer
13 years 11 months ago
The Pattern Extraction Architecture: A Connectionist Alternative to the Von Neumann Architecture
A detailed connectionist architecture is described which is capable of relating psychological behavior to the functioning of neurons and neurochemicals. The need to be able to bui...
L. Andrew Coward
IJCNN
2006
IEEE
14 years 1 months ago
Online Training of a Generalized Neuron with Particle Swarm Optimization
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
Raveesh Kiran, Sandhya R. Jetti, Ganesh K. Venayag...
ISCAS
2006
IEEE
133views Hardware» more  ISCAS 2006»
14 years 1 months ago
Neuronal ion-channel dynamics in silicon
Abstract— We present a simple silicon circuit for modelling voltagedependent ion channels found within neural cells, capturing both the gating particle’s sigmoidal activation (...
Kai M. Hynna, Kwabena Boahen
ISCAS
2003
IEEE
148views Hardware» more  ISCAS 2003»
14 years 27 days ago
Hybrid neural network architecture for age identification of ancient Kannada scripts
Wide research has been carried out and is still taking place in the field of character recognition of handwritten English characters. Recognizing English characters is much simple...
Harish K. Kashyap, Bansilal, P. Arun Koushik